Anggara Trisna Nugraha
Marine Electrical Engineering, Shipbuilding of Politechnic Surabaya, Surabaya 6011, Indonesia

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Planning a Protection Coordination System Against Over Current Relays and Ground Fault Relays Using the NN Method Siti Zaibah; Anggara Trisna Nugraha; Fortunaviaza Habib Ainudin
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i4.239

Abstract

PT PAMA PERSADA is one of the power plants located in Kalimantan, Barunang which has 2 feeders. In one of the feeders, protection coordination often occurs. These disturbances can hamper the performance of the company PT PAMA PERSADA. This turned out to be a disturbance in the coordination of protection types of overcurrent relays and ground fault relays. Where in the end it takes an evaluation analysis of the relay setting coordination using the Electrical Transient Analysis Program (ETAP) 19.0.1 software on the electrical system. The disturbance that occurs is in feeder 2 which is divided into KM30 and Parilahung substations. This disturbance occurs because the relay coordination trips work simultaneously. From the results of the ETAP simulation, the power value is 4.164 KW, the reactive power is 780.3 KVAR, the apparent power is 4.237 KVA, and the cos phi value used is 0.9. Meanwhile, the protection coordination setting meets the IEEE 60255 standard with a grading time of 0.2 – 0.6 second. After being successfully simulated with the Electrical Transient Analysis Program (ETAP) 19.0.1 software, it was continued with the Matlab software which was used as an optimization of the relay settings and the use of the working effect of the NN (Neural Network) method. In accordance with the MSE (Main Square Error) value it reached 0.33452.
Design and Build a Distance and Heart Rate Monitoring System on a Dynamic Bike Integrated with Power Generating System Anggara Trisna Nugraha
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 4 No 4 (2022): October
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA and IKATEMI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v4i4.260

Abstract

One of the organs of the body that must be protected is the heart. The heart is an organ of the human body that performs important functions to sustain life. Maintaining health is a top priority and requires careful attention, so small abnormalities in the heart can have a big impact on our body's performance [2]. In addition to the rapid development of the field of health sciences, this can affect not only aspects of medicine, but also other supporting fields of science such as chemistry, biology, pharmacy and other scientific fields. Don't forget that informatics plays an important role in maintaining, monitoring, diagnosing, and managing health, especially heart health. With the development of medical science, people are always active in improving their physical fitness in order to remain optimal in the current new normal era. After the Covid-19 pandemic, many things change to adapt to the environment around us. One of the implications of the adjustment in the new normal era is the use of transportation for social distancing. Many people use environmentally friendly and healthy modes of transportation, such as bicycles, to travel. In 2016, Deshmukh and colleagues conducted a study entitled 'Design of a Walking Bike', one of several developments in the title of research that discusses the design of a treadmill bicycle [5]. In this study, a mechanical test and design of a treadmill bicycle was carried out in the form of 3D modeling which had been integrated with a power generating system in the form of adding a BLDC motor to the rear wheel. By following the rapid development of technology. The authors investigated the effect of treadmill cycling on heart rate monitoring using the MAX30102 sensor. The two initial values ​​can easily be derived from the results of the conducted studies. The first test has an error rate of 12.64% and the second test has an error rate of 22.09%. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing. From the results of these tests, the author is in further investigation by adding the Kalman filtering method to the MAX30102 sensor. Then, the output generated from this power generating system can charge the battery up to 12.95 volts with a period of 25 minutes of testing.